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通过整合细胞培养中氨基酸脉冲稳定同位素标记法(pSILAC)和下一代测序(NGS)分析揭示的p53调控的蛋白质、mRNA、miRNA和lncRNA表达网络

p53-Regulated Networks of Protein, mRNA, miRNA, and lncRNA Expression Revealed by Integrated Pulsed Stable Isotope Labeling With Amino Acids in Cell Culture (pSILAC) and Next Generation Sequencing (NGS) Analyses.

作者信息

Hünten Sabine, Kaller Markus, Drepper Friedel, Oeljeklaus Silke, Bonfert Thomas, Erhard Florian, Dueck Anne, Eichner Norbert, Friedel Caroline C, Meister Gunter, Zimmer Ralf, Warscheid Bettina, Hermeking Heiko

机构信息

From the ‡Experimental and Molecular Pathology, Institute of Pathology, Ludwig-Maximilians-University Munich, Thalkirchner Straβe 36, 80337 Munich, Germany;

‖Department of Biochemistry and Functional Proteomics, Faculty of Biology and BIOSS Centre for Biological Signalling Studies, University of Freiburg, 79104 Freiburg, Germany;

出版信息

Mol Cell Proteomics. 2015 Oct;14(10):2609-29. doi: 10.1074/mcp.M115.050237. Epub 2015 Jul 16.

Abstract

We determined the effect of p53 activation on de novo protein synthesis using quantitative proteomics (pulsed stable isotope labeling with amino acids in cell culture/pSILAC) in the colorectal cancer cell line SW480. This was combined with mRNA and noncoding RNA expression analyses by next generation sequencing (RNA-, miR-Seq). Furthermore, genome-wide DNA binding of p53 was analyzed by chromatin-immunoprecipitation (ChIP-Seq). Thereby, we identified differentially regulated proteins (542 up, 569 down), mRNAs (1258 up, 415 down), miRNAs (111 up, 95 down) and lncRNAs (270 up, 123 down). Changes in protein and mRNA expression levels showed a positive correlation (r = 0.50, p < 0.0001). In total, we detected 133 direct p53 target genes that were differentially expressed and displayed p53 occupancy in the vicinity of their promoter. More transcriptionally induced genes displayed occupied p53 binding sites (4.3% mRNAs, 7.2% miRNAs, 6.3% lncRNAs, 5.9% proteins) than repressed genes (2.4% mRNAs, 3.2% miRNAs, 0.8% lncRNAs, 1.9% proteins), suggesting indirect mechanisms of repression. Around 50% of the down-regulated proteins displayed seed-matching sequences of p53-induced miRNAs in the corresponding 3'-UTRs. Moreover, proteins repressed by p53 significantly overlapped with those previously shown to be repressed by miR-34a. We confirmed up-regulation of the novel direct p53 target genes LINC01021, MDFI, ST14 and miR-486 and showed that ectopic LINC01021 expression inhibits proliferation in SW480 cells. Furthermore, KLF12, HMGB1 and CIT mRNAs were confirmed as direct targets of the p53-induced miR-34a, miR-205 and miR-486-5p, respectively. In line with the loss of p53 function during tumor progression, elevated expression of KLF12, HMGB1 and CIT was detected in advanced stages of cancer. In conclusion, the integration of multiple omics methods allowed the comprehensive identification of direct and indirect effectors of p53 that provide new insights and leads into the mechanisms of p53-mediated tumor suppression.

摘要

我们使用定量蛋白质组学(细胞培养中氨基酸脉冲稳定同位素标记/pSILAC)在结肠癌细胞系SW480中确定了p53激活对从头蛋白质合成的影响。这与通过下一代测序(RNA-、miR-Seq)进行的mRNA和非编码RNA表达分析相结合。此外,通过染色质免疫沉淀(ChIP-Seq)分析了p53在全基因组范围内的DNA结合情况。由此,我们鉴定出差异调节的蛋白质(542个上调,569个下调)、mRNA(1258个上调,415个下调)、miRNA(111个上调,95个下调)和lncRNA(270个上调,123个下调)。蛋白质和mRNA表达水平的变化呈正相关(r = 0.50,p < 0.0001)。我们总共检测到133个直接的p53靶基因,这些基因差异表达且在其启动子附近显示有p53占据。与受抑制基因(2.4%的mRNA、3.2%的miRNA、0.8%的lncRNA、1.9%的蛋白质)相比,更多转录诱导基因显示有p53结合位点被占据(4.3%的mRNA、7.2%的miRNA、6.3%的lncRNA、5.9%的蛋白质),这表明存在间接的抑制机制。约50%的下调蛋白质在相应的3'-UTR中显示有p53诱导的miRNA的种子匹配序列。此外,被p53抑制的蛋白质与先前显示被miR-34a抑制的蛋白质有显著重叠。我们证实了新型直接p53靶基因LINC01021、MDFI、ST14和miR-486的上调,并表明异位表达LINC01021可抑制SW480细胞的增殖。此外,KLF12、HMGB1和CIT mRNA分别被确认为p53诱导的miR-34a、miR-205和miR-486-5p的直接靶标。与肿瘤进展过程中p53功能丧失一致,在癌症晚期检测到KLF12、HMGB1和CIT的表达升高。总之,多种组学方法的整合使得能够全面鉴定p53的直接和间接效应物,为p53介导的肿瘤抑制机制提供了新的见解和线索。

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